000 | 03284nam a22005415i 4500 | ||
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001 | 978-981-10-0308-0 | ||
003 | DE-He213 | ||
005 | 20200421111659.0 | ||
007 | cr nn 008mamaa | ||
008 | 160420s2016 si | s |||| 0|eng d | ||
020 |
_a9789811003080 _9978-981-10-0308-0 |
||
024 | 7 |
_a10.1007/978-981-10-0308-0 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aComputational Intelligence Techniques in Health Care _h[electronic resource] / _cedited by P.V. Lakshmi, Wengang Zhou, P Satheesh. |
264 | 1 |
_aSingapore : _bSpringer Singapore : _bImprint: Springer, _c2016. |
|
300 |
_aVII, 100 p. 23 illus., 21 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSpringerBriefs in Applied Sciences and Technology, _x2191-530X |
|
505 | 0 | _aBioinformatics, genomics and diabetes -- Coralyne targets proteases involved cancer progression: An InSilico study -- Computational Intelligence Approach for Prediction Of Breast Cancer Using Particle Swarm Optimization: A Comparative Study Of The Results With Reduced Set Of Attributes -- QSAR and validation analysis on MMP-13 Inhibitors -- Detection of Lesion in Mammogram Images using Differential Evolution based Automatic Fuzzy Clustering -- Sequence Alignment By Advanced Differential Evolutionary Algorithm (ADE) -- Swarm Intelligence and Variable Precision Rough Set Model: A Hybrid Approach for Classification -- Ayush To Kidney (Atok) Data Science Model for Diagnosis and to Advice Through an Expert System. | |
520 | _aThis book presents research on emerging computational intelligence techniques and tools, with a particular focus on new trends and applications in health care. Healthcare is a multi-faceted domain, which incorporates advanced decision-making, remote monitoring, healthcare logistics, operational excellence and modern information systems. In recent years, the use of computational intelligence methods to address the scale and the complexity of the problems in healthcare has been investigated. This book discusses various computational intelligence methods that are implemented in applications in different areas of healthcare. It includes contributions by practitioners, technology developers and solution providers. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aHealth informatics. | |
650 | 0 | _aBioinformatics. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aBiomedical engineering. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aHealth Informatics. |
650 | 2 | 4 | _aBiomedical Engineering. |
650 | 2 | 4 | _aComputational Biology/Bioinformatics. |
700 | 1 |
_aLakshmi, P.V. _eeditor. |
|
700 | 1 |
_aZhou, Wengang. _eeditor. |
|
700 | 1 |
_aSatheesh, P. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9789811003073 |
830 | 0 |
_aSpringerBriefs in Applied Sciences and Technology, _x2191-530X |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-981-10-0308-0 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c54876 _d54876 |